Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the ...

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...

There are lots of examples of facial recognition’s role in helping police to locate wanted and vulnerable people. But as ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

In biology, many RNA molecules act as sophisticated microscopic machines. Among them, riboswitches function as tiny biological sensors, changing their 3D shape upon binding to a specific metabolite.

Scientists still don’t know how the brain turns physical activity into thoughts, feelings, and awareness—but a powerful new tool may help crack the mystery. Researchers at MIT are exploring ...